Associate - Primary Data Intelligence at Genesis Analytics

ABOUT THE ROLE: ASSOCIATE - PRIMARY DATA INTELLIGENCE 

The associate will be largely involved in projects with a significant portion of primary data collection, including quality control, survey design and scripting, relational database management, data cleaning, data analysis and report writing. That being said, the associate will be further involved in other areas of data innovation under the guidance of the PDI team - involving AI, automations, dashboarding, system and database design as well as GIS. 

Responsibilities

A core facet of working in the PDI team centres around rigour. As custodians of data quality for data-centric development projects in the young world, we therefore value trust and transparency above all else. Rigour is carried through from conceptualisation, designing robust data collection tools, real-time quality control all the way to analysis and the dissemination of findings. 

The responsibilities of the associate role include:

• Project management 
• Qualitative and quantitative methodology design
• Quality control 
• Data collection tool design and digitisation
• Relational database management
• Dashboard development
• Data cleaning and analysis
• Stakeholder engagement
• Dissemination of research findings using various mediums (reports, dashboards, data visualisation, presentations)
• Mapping geographical data

Requirements

We specifically would like to hire an experienced professional with a keen interest and love for data who has a passion for doing impactful work across the young world. 

• Integrity - as custodians of data quality for development projects in the young world, we value trust and transparency above all else
• At least 2-3 years of experience in data-driven consulting work (quantitative and/or qualitative)
• Masters degree or higher
• Academic qualifications involving economics, psychology, statistics, monitoring and evaluation, environmental science, development and/or sociology or similar
• Good knowledge of statistics
• Proficiency working with scripted data analysis software (either STATA, SPSS, R or Python)
• Tech-savvy individual excited to work with new digital platforms, with guidance from the DI team (Slack, Airtable, Looker Studio, Google MyMaps)
• Excellent writing ability in English
• Excellent written and verbal communication in English